Work options: Remote
Team works typical business hours based in Eastern Time Zone
Full Stack Engineer, External Data Analytics
Location: Remote, EST work hours required
Type: Long term temporary contract
Pay Rate: $65 to $75 per hour, depending on experience
Level: Mid-level
About the Role
We are seeking a Full Stack Engineer to support the design, development, and reliability of enterprise analytics platforms used for mission-critical operational reporting, real-time telemetry, and post-event analytics.
This role is ideal for a hands-on engineer with strong AWS cloud experience, full stack development skills, and a background working with scalable data pipelines, event-driven architectures, APIs, and analytics dashboards. The engineer should be comfortable contributing across backend services, data platforms, front-end applications, automation, and observability.
The ideal candidate is technically curious, collaborative, self-driven, and able to communicate clearly with engineering, product, operations, and security stakeholders.
Key Responsibilities
Software Solutioning and Design
- Develop a strong understanding of business processes and operational analytics needs
- Collaborate with lead engineers and architects to evaluate feature requests and support sprint planning
- Participate in peer code reviews and design reviews
- Provide clear technical input on solution approach, tradeoffs, and effort
Design and Implementation
- Build and enhance scalable enterprise analytics platforms
- Develop cloud-native data architectures, telemetry pipelines, APIs, and reporting systems
- Implement secure, scalable full stack solutions across backend services, data platforms, and front-end analytics applications
- Support end-to-end data workflows including ingestion, transformation, service layers, and dashboards
- Apply established architectural patterns, automation standards, and observability practices
- Ensure systems are designed for scalability, data integrity, availability, and reliability
- Integrate monitoring, telemetry, and operational readiness into platform components
- Develop and maintain automated end-to-end and UI testing frameworks using Playwright
- Support CI/CD integration for automated testing and deployment workflows
Technical Contribution and Engineering Excellence
- Help solve complex technical problems and improve system design
- Promote best practices in secure system design, automation, performance optimization, and resilient engineering
- Continuously improve skills across AWS, data engineering, full stack development, and test automation
- Collaborate with team members to strengthen development, testing, and reliability practices
- Communicate technical approaches clearly to both technical and non-technical stakeholders
Team Operations and Collaboration
- Partner with product, operations, QA, security, and engineering teams
- Support readiness activities through testing, monitoring, and reliability efforts
- Contribute to documentation, knowledge sharing, and continuous improvement
- Foster a culture of ownership, accountability, documentation, and operational excellence
Required Qualifications
- 3 or more years of experience designing, building, and supporting scalable cloud-native applications, data pipelines, or analytics platforms
- 1 or more years of experience developing modern front-end applications using TypeScript and React
- Hands-on coding and scripting experience with Python, JavaScript, React.js, and Node.js
- Strong knowledge of AWS cloud infrastructure and distributed systems
- Experience with AWS services such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, and DynamoDB
- Experience building APIs and data processing systems using backend technologies such as Node.js, preferably TypeScript, and Python
- Experience with data ingestion, transformation, and orchestration pipelines
- Experience building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS
- Familiarity with asynchronous programming and event-driven architectures
- Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
- Experience with automated testing frameworks, especially Playwright for end-to-end and UI testing
- Experience with Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI
- Strong focus on scalability, data integrity, reliability, and quality engineering practices
- Excellent analytical, conceptual, problem-solving, communication, and collaboration skills
- Ability to prioritize and execute work in a fast-paced, high-pressure environment
Preferred Qualifications
- Experience with Backstage, LaunchDarkly, or GitHub Actions
- Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar tools
- Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg, and